code: def test_subsampling(train_dic, subsample):
      train_args = make_train_args(**train_dic)
  
      model, feats, feats_len, _, _, _ = prepare(train_args)
  
      assert model.get_total_subsampling_factor() == subsample
  
imports: import argparse
  import json
  import tempfile
  import pytest
  import torch
  from packaging.version import parse
  import espnet.lm.pytorch_backend.extlm
  import espnet.nets.pytorch_backend.lm.default
  from espnet.asr.pytorch_backend.asr_init import load_trained_model
  from espnet.nets.beam_search_transducer import BeamSearchTransducer
  from espnet.nets.pytorch_backend.e2e_asr_transducer import E2E
  from espnet.nets.pytorch_backend.transducer.blocks import build_blocks
label_desc: Use image node_id 17 for calling a global function with example usage: test_subsampling(train_dic, subsample) without return types